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In Silico Modeling Method for Computational Aquatic Toxicology of Endocrine Disruptors: A Software-Based Approach Using QSAR Toolbox
Published on: August 28, 2019
Thermodynamic descriptors derived from density functional theory calculations in prediction of aquatic toxicity
Martin Smiesko1, Emilio Benfenati
1Department of Environmental Chemistry, Institute for Pharmacological Research Mario Negri, Via Eritrea 62, 20157 Milano, Italy. smiesko@marionegri.it
Abstract:
Ab initio Density Functional Theory methods at the B3LYP/6-311+G(2d,p)//HF/3-21G(d) level in the gas and solvent phases (Conductor-like Polarizable Continuum Model) were used to calculate the thermodynamic and charge related descriptors including the first-order dissociation constant for a set of 53 substituted phenols. The absolute values of the pKa DFT descriptor showed significant deviations from the experimental values of dissociation constants, but the relative trends were well-described (R2=0.929, n=40). The descriptors were used for the design of predictive models for two aquatic species Pimephales promelas and Tetrahymena pyriformis. In both cases the best performing 2-descriptor models were based on the descriptors DeltaH298gas) and ClogP and showed good predictivity with R2=0.853, R2CV=0.834 for Pimephales and R2=0.864, R2CV=0.833 for Tetrahymena. The descriptors, models and the mode of action of the compounds are discussed.
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